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  • Blackwell Publishing Ltd  (182,058)
  • Amsterdam : Elsevier
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  • 1
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    Fifty years after deep‐ploughing: Effects on yield, roots, nutrient stocks and soil structure (2023)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-05-30
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Deep‐ploughing far beyond the common depth of 30 cm was used more than 50 years ago in Northern Germany with the aim to break root‐restricting layers and thereby improve access to subsoil water and nutrient resources. We hypothesized that effects of this earlier intervention on soil properties and yields prevailed after 50 years. Hence, we sampled two sandy soils and one silty soil (Cambisols and a Luvisol) of which half of the field had been deep‐ploughed 50 years ago (soils then re‐classified as Treposols). The adjacent other half was not deep‐ploughed and thus served as the control. At all the three sites, both deep‐ploughed and control parts were then conventionally managed over the last 50 years. We assessed yields during the dry year 2019 and additionally in 2020, and rooting intensity at the year of sampling (2019), as well as changes in soil structure, carbon and nutrient stocks in that year. We found that deep‐ploughing improved yields in the dry spell of 2019 at the sandy sites, which was supported by a more general pattern of higher NDVI indices in deep‐ploughed parts for the period from 2016 to 2021 across varying weather conditions. Subsoil stocks of soil organic carbon and total plant‐available phosphorus were enhanced by 21%–199% in the different sites. Root biomass in the subsoil was reduced due to deep‐ploughing at the silty site and was increased or unaffected at the sandy sites. Overall, the effects of deep‐ploughing were site‐specific, with reduced bulk density in the buried topsoil stripes in the subsoil of the sandy sites, but with elevated subsoil density in the silty site. Hence, even 50 years after deep‐ploughing, changes in soil properties are still detectable, although effect size differed among sites.〈/p〉
    Description: BonaRes http://dx.doi.org/10.13039/501100022576
    Keywords: ddc:631.4 ; aggregates ; carbon sequestration ; deep‐ploughing ; macronutrients ; subsoil ; Treposol
    Language: English
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  • 2
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    Reducing tillage intensity benefits the soil micro‐ and mesofauna in a global meta‐analysis (2022)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-03-22
    Description: Soil fauna drives crucial processes of energy and nutrient cycling in agricultural systems, and influences the quality of crops and pest incidence. Soil tillage is the most influential agricultural manipulation of soil structure, and has a profound influence on soil biology and its provision of ecosystem services. The objective of this study was to quantify through meta‐analyses the effects of reducing tillage intensity on density and diversity of soil micro‐ and mesofaunal communities, and how these effects vary among different pedoclimatic conditions and interact with concurrent management practices. We present the results of a global meta‐analysis of available literature data on the effects of different tillage intensities on taxonomic and functional groups of soil micro‐ and mesofauna. We collected paired observations (conventional vs. reduced forms of tillage/no‐tillage) from 133 studies across 33 countries. Our results show that reduced tillage intensity or no‐tillage increases the total density of springtails (+35%), mites (+23%), and enchytraeids (+37%) compared to more intense tillage methods. The meta‐analyses for different nematode feeding groups, life‐forms of springtails, and taxonomic mite groups showed higher densities under reduced forms of tillage compared to conventional tillage on omnivorous nematodes (+53%), epedaphic (+81%) and hemiedaphic (+84%) springtails, oribatid (+43%) and mesostigmatid (+57%) mites. Furthermore, the effects of reduced forms of tillage on soil micro‐ and mesofauna varied with depth, climate and soil texture, as well as with tillage method, tillage frequency, concurrent fertilisation, and herbicide application. Our findings suggest that reducing tillage intensity can have positive effects on the density of micro‐ and mesofaunal communities in areas subjected to long‐term intensive cultivation practices. Our results will be useful to support decision making on the management of soil faunal communities and will facilitate modelling efforts of soil biology in global agroecosystems. HIGHLIGHTS Global meta‐analysis to estimate the effect of reducing tillage intensity on micro‐ and mesofauna Reduced tillage or no‐tillage has positive effects on springtail, mite and enchytraeid density Effects vary among nematode feeding groups, springtail life forms and mite suborders Effects vary with texture, climate and depth and depend on the tillage method and frequency
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: https://doi.org/10.20387/bonares-eh0f-hj28
    Keywords: ddc:631.4 ; agricultural land use ; conservation agriculture ; conventional agriculture ; soil biodiversity ; soil cultivation
    Language: English
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  • 3
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    Temperature and soil moisture change microbial allocation of pesticide‐derived carbon (2023)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-03-18
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Temperature and soil moisture are known to control pesticide mineralization. Half‐life times (DT〈sub〉50〈/sub〉) derived from pesticide mineralization curves generally indicate longer residence times at low soil temperature and moisture but do not consider potential changes in the microbial allocation of pesticide‐derived carbon (C). We aimed to determine carbon use efficiency (CUE, formation of new biomass relative to total C uptake) to better understand microbial utilization of pesticide‐derived C under different environmental conditions and to support the conventional description of degradation dynamics based on mineralization. We performed a microcosm experiment at two MCPA (2‐methyl‐4‐chlorophenoxyacetic acid) concentrations (1 and 20 mg kg〈sup〉−1〈/sup〉) and defined 20°C/pF 1.8 as optimal and 10°C/pF 3.5 as limiting environmental conditions. After 4 weeks, 70% of the initially applied MCPA was mineralized under optimal conditions but MCPA mineralization reached less than 25% under limiting conditions. However, under limiting conditions, an increase in CUE was observed, indicating a shift towards anabolic utilization of MCPA‐derived C. In this case, increased C assimilation implied C storage or the formation of precursor compounds to support resistance mechanisms, rather than actual growth since we did not find an increase in the 〈italic toggle="no"〉tfdA〈/italic〉 gene relevant to MCPA degradation. We were able to confirm the assumption that under limiting conditions, C assimilation increases relative to mineralization and that C redistribution, may serve as an explanation for the difference between mineralization and MCPA dissipation‐derived degradation dynamics. In addition, by introducing CUE to the temperature‐ and moisture‐dependent degradation of pesticides, we can capture the underlying microbial constraints and adaptive mechanisms to changing environmental conditions.〈/p〉
    Description: 〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Changing environmental conditions alter the MCPA degradation dynamics and the allocation of pesticide‐derived carbon to anabolic or catabolic metabolism.〈boxed-text position="anchor" content-type="graphic" id="ejss13417-blkfxd-0001" xml:lang="en"〉 〈graphic position="anchor" id="jats-graphic-1" xlink:href="urn:x-wiley:13510754:media:ejss13417:ejss13417-toc-0001"〉 〈/graphic〉 〈/boxed-text〉〈/p〉
    Description: Collaborative Research Center 1253 CAMPOS (DFG)
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: DFG Priority Program 2322 “Soil System”
    Description: Ellrichshausen Foundation
    Description: Research Training Group “Integrated Hydrosystem modeling”
    Description: https://doi.org/10.5281/zenodo.5081655
    Keywords: ddc:631.4 ; anabolism ; carbon use efficiency ; catabolism ; effect of soil moisture and temperature ; gene‐centric process model ; MCPA biodegradation
    Language: English
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  • 4
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    Defining Hydrogeological Site Similarity with Hierarchical Agglomerative Clustering (2022)
    Blackwell Publishing Ltd | Malden, US
    Details
    Publication Date: 2024-02-28
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Hydrogeological information about an aquifer is difficult and costly to obtain, yet essential for the efficient management of groundwater resources. Transferring information from sampled sites to a specific site of interest can provide information when site‐specific data is lacking. Central to this approach is the notion of site similarity, which is necessary for determining relevant sites to include in the data transfer process. In this paper, we present a data‐driven method for defining site similarity. We apply this method to selecting groups of similar sites from which to derive prior distributions for the Bayesian estimation of hydraulic conductivity measurements at sites of interest. We conclude that there is now a unique opportunity to combine hydrogeological expertise with data‐driven methods to improve the predictive ability of stochastic hydrogeological models.〈/p〉
    Description: 〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉〈italic〉Article impact statement〈/italic〉: This article introduces hierarchical clustering as a method for defining a notion of site similarity; the aim of this method is to improve the derivation of prior distributions in Bayesian methods in hydrogeology.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: https://github.com/GeoStat-Bayesian/geostatDB
    Description: https://github.com/GeoStat-Bayesian/exPrior
    Description: https://github.com/GeoStat-Bayesian/siteSimilarity
    Keywords: ddc:551.49 ; hydrogeological sites ; hydrogeological modeling
    Language: English
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  • 5
    Monograph available for loan
    Monograph available for loan
    Handbook of recycling : state-of-the-art for practitioners, analysts, and scientists (2024)
    Amsterdam : Elsevier
    Details Availability
    Call number: PIK 24-95653
    Type of Medium: Monograph available for loan
    Pages: xviii, 738 Seiten , Illustrationen, Diagramme
    Edition: Second edition
    ISBN: 9780323855143
    Language: English
    Note: Part 1: Recycling in context Chapter 1: Introduction Abstract 1.1: The Challenges 1.2: The Role of Materials in Society 1.3: From Linear to Circular Economy 1.4: Recycling in the Circular Economy 1.5: The Book References Chapter 2: The fundamental limits of circularity quantified by digital twinning Abstract 2.1: Introduction 2.2: A Product and Material Focus on Recycling Within the CE 2.3: Digital Twinning of the CE System: Understanding the Opportunities and Limits 2.4: Opportunities and Challenges References Chapter 3: Maps of the physical economy to inform sustainability strategies Abstract Acknowledgments 3.1: Introduction 3.2: Dimensions of MFA 3.3: Components for Monitoring the Physical Economy 3.4: Application of the Framework: Maps of the Aluminum Cycle 3.5: Recommendations References Chapter 4: Material efficiency—Squaring the circular economy: Recycling within a hierarchy of material management strategies Abstract 4.1: Is a Circular Economy Possible or Desirable? 4.2: Hierarchies of Material Conservation 4.3: When Is Recycling Not the Answer? 4.4: Discussion References Chapter 5: Material and product-centric recycling: design for recycling rules and digital methods Abstract Acknowledgements 5.1: Introduction 5.2: Recyclability Index and Ecolabeling of Products 5.3: DfR Rules and Guidelines 5.4: Product-Centric Recycling 5.5: Examples of Recycling System Simulation 5.6: Summary 5.7: Future Challenges References Additional Reading Chapter 6: Developments in collection of municipal waste Abstract 6.1: Introduction 6.2: Definitions and Models 6.3: A Global Picture of SWM 6.4: Collection and Recovery Systems 6.5: Future Developments 6.6: Conclusion and Outlook References Chapter 7: The path to inclusive recycling: Developing countries and the informal sector Abstract 7.1: Introduction 7.2: Definition and Links With the Formal Sector 7.3: Informal Waste Tire Recycling: Challenges and Opportunities 7.4: Approaches Towards Inclusive Recycling 7.5: Policies and Standardization Developments for Inclusive Recycling 7.6: Conclusion and Outlook References Part 2: Recycling from a product perspective Chapter 8: Physical separation Abstract 8.1: Introduction 8.2: Properties and Property Spaces 8.3: Breakage 8.4: Particle Size Classification 8.5: Gravity Separation 8.6: Flotation 8.7: Magnetic Separation 8.8: Eddy Current Separation 8.9: Electrostatic Separation 8.10: Sorting 8.11: Conclusion References Chapter 9: Sensor-based sorting Abstract 9.1: Mechanical Treatment of Waste 9.2: Principle of Sensor-Based Sorting 9.3: Requirements for Optimal Sorting Results 9.4: Available Sensors 9.5: Application of Different Sensors in Recycling 9.6: Recent Developments 9.7: Outlook References Chapter 10: Mixed bulky waste Abstract 10.1: Introduction 10.2: The Circular Process for Mixed Bulky Waste 10.3: Conditions for Economically Viable Sorting 10.4: Sorting of Mixed Bulky Waste 10.5: Sorting Process 10.6: Recycling Efficiency 10.7: Conclusion and Outlook Reference Chapter 11: Packaging Abstract 11.1: Introduction 11.2: Packaging Waste 11.3: Composition 11.4: Recovery and Recycling 11.5: Collection and Recovery Schemes 11.6: Conclusion and Outlook References Chapter 12: End-of-life vehicles Abstract 12.1: Introduction 12.2: Vehicle Composition 12.3: Recycling Chain 12.4: Recycling of Automotive parts 12.5: Recycling of Automotive Fluids 12.6: Automotive Shredder Residue 12.7: Future Developments and Outlook 12.8: Conclusions References Further Reading Chapter 13: Electrical and electronic equipment (WEEE) Abstract 13.1: Introduction 13.2: Waste Characterization 13.3: Recycling Chain and Technologies 13.4: Future Developments 13.5: Conclusions References Chapter 14: Photovoltaic and wind energy equipment Abstract 14.1: Introduction 14.2: Wind Turbines 14.3: Photovoltaic Modules 14.4: Wind Turbine Recycling 14.5: PV Recycling 14.6: Future Developments 14.7: Key Issues and Challenges 14.8: Conclusions and Outlook References Chapter 15: Buildings Abstract 15.1: The Why: Buildings and Circularity 15.2: The How and Who: A Framework 15.3: The When: Shearing Layers 15.4: The What: Materials in Buildings 15.5: Improving Data on Materials 15.6: The How, Who, When, and What 15.7: Outlook References Chapter 16: Construction and demolition waste Abstract Acknowledgments 16.1: Introduction 16.2: C&D Waste Use 16.3: Recycling 16.4: Recycling Technologies and Practice 16.5: Future Developments 16.6: Conclusion and Outlook References Chapter 17: Industrial by-products Abstract 17.1: Waste, By-product, or Product? 17.2: Major By-products 17.3: Where and How to Use By-products 17.4: Technical and Environmental Requirements 17.5: Sustainability Aspects 17.6: Conclusions, Challenges, and Outlook References Chapter 18: Mine tailings Abstract 18.1: Introduction 18.2: Future Opportunities for Tailings Management 18.3: Main Drivers for Change 18.4: Emerging Technologies 18.5: Conclusions and Outlook References Further Reading Part 3: Recycling from a material perspective Chapter 19: Steel Abstract 19.1: Introduction 19.2: Use Phase and Recycling Examples 19.3: Classification of Steel Scrap 19.4: Requirements for Scrap 19.5: Treatment Process 19.6: Steel Scrap Smelting Process 19.7: Steel 19.8: Alloy or Tramp Elements? 19.9: Purification of Scrap 19.10: Outlook References Further Reading Chapter 20: Aluminum Abstract 20.1: Introduction 20.2: Alloys and Their Recycling 20.3: Melt Loss 20.4: Used Beverage Can (UBC) Recycling 20.5: Wheel Recycling 20.6: Dross Processing 20.7: Purification and Refining 20.8: Future Trends and Challenges References Chapter 21: Copper Abstract 21.1: Sources of Copper Scrap 21.2: Smelting and Refining of Copper Scrap 21.3: Conclusions and Outlook References Further Reading Chapter 22: Lead Abstract 22.1: Introduction 22.2: Material Use 22.3: The Lead-Acid Battery 22.4: Recycling Technologies 22.5: Future Developments 22.6: Key Issues and Challenges References Chapter 23: Zinc Abstract 23.1: Introduction 23.2: Recycling Technologies 23.3: Key Issues and Challenges References Chapter 24: Ferroalloy elements Abstract 24.1: Introduction 24.2: Use and Recycling 24.3: Recycling of Residues 24.4: Conclusion References Chapter 25: Precious and technology metals Abstract 25.1: Introduction 25.2: Applications 25.3: Scrap Types and Quantities 25.4: Recycling Technologies 25.5: Future Challenges 25.6: Conclusions and Outlook Further reading References Chapter 26: Concrete and aggregates Abstract Acknowledgment 26.1: Introduction 26.2: Waste Flows 26.3: Recovery Rates 26.4: Recycled Aggregate Concrete Applications 26.5: Concrete Recycling Technologies 26.6: Future Developments 26.7: Conclusion References Chapter 27: Cementitious binders incorporating residues Abstract 27.1: Introduction 27.2: Clinker Production: Process, and Alternative Fuels and Raw Materials 27.3: From Clinker to Cement: Residues in Blended Cements 27.4: Alternative Cements With Lower Environmental Footprint 27.5: Conclusions and Outlook References Chapter 28: Glass Abstract 28.1: Introduction 28.2: Types of Glass 28.3: Manufacturing 28.4: Recovery for Reuse and Recycling 28.5: Reuse 28.6: Closed-Loop Recycling 28.7: Open-Loop Recycling 28.8: Conclusion and Outlook References Chapter 29: Lumber Abstract 29.1: Introduction 29.2: Wood Material Uses 29.3: Postuse Wood Recovery for Recycling 29.4: Postuse Wood Recycling 29.5: Case Study Scenarios 29.6: Future Developments 29.7: Concluding Remarks References Chapter 30: Paper Abstract 30.1: Introduction 30.2: Collection and Utilization 30.3: Collection and Sorting Systems 30.4: Stock Preparation 30.5: Key Issues and Future Challenges References Further Reading Chapter 31: Plastic recycling Abstract 31.1: Introduction 31.2: Use 31.3: Recycling 31.4: Mechanical Recycling 31.5: Chemical Recycling 31.6: Impact of Recycling 31.7: Conclusions and Outlook References Further Reading Chapter 32: Black rubber products Abstract 32.1: Introduction 32.2: Mechanical Rubber Go
    Location: A 18 - must be ordered
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  • 6
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    Small lateral air pressure gradients generated by a large chamber system have a strong effect on CO2 transport in soil (2023)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-02-09
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Gas transport in soils is usually assumed to be purely diffusive, although several studies have shown that non‐diffusive processes can significantly enhance soil gas transport. These processes include barometric air pressure changes, wind‐induced pressure pumping and static air pressure fields generated by wind interacting with obstacles. The associated pressure gradients in the soil can cause advective gas fluxes that are much larger than diffusive fluxes. However, the contributions of the respective transport processes are difficult to separate. We developed a large chamber system to simulate pressure fields and investigate their influence on soil gas transport. The chamber consists of four subspaces in which pressure is regulated by fans that blow air in or out of the chamber. With this setup, we conducted experiments with oscillating and static pressure fields. CO〈sub〉2〈/sub〉 concentrations were measured along two soil profiles beneath the chamber. We found a significant relationship between static lateral pressure gradients and the change in the CO〈sub〉2〈/sub〉 profiles (R〈sup〉2〈/sup〉 = 0.53; 〈italic toggle="no"〉p〈/italic〉‐value 〈2e‐16). Even small pressure gradients between −1 and 1 Pa relative to ambient pressure resulted in an increase or decrease in CO〈sub〉2〈/sub〉 concentrations of 8% on average in the upper soil, indicating advective flow of air in the pore space. Positive pressure gradients resulted in decreasing, negative pressure gradients in increasing CO〈sub〉2〈/sub〉 concentrations. The concentration changes were probably caused by an advective flow field in the soil beneath the chamber generated by the pressure gradients. No effect of oscillating pressure fields was observed in this study. The results indicate that static lateral pressure gradients have a substantial impact on soil gas transport and therefore are an important driver of gas exchange between soil and atmosphere. Lateral pressure gradients in a comparable range can be induced under windy conditions when wind interacts with terrain features. They can also be caused by chambers used for flux measurements at high wind speed or by fans used for head‐space mixing within the chambers, which yields biased flux estimates.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: ddc:631.4 ; advective flux ; chamber flux measurements ; static air pressure fields ; wind‐induced pressure pumping
    Language: English
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  • 7
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    BODIUM—A systemic approach to model the dynamics of soil functions (2023)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-01-26
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The increasing demand for biomass for food, animal feed, fibre and bioenergy requires optimization of soil productivity, while at the same time, protecting other soil functions such as nutrient cycling and buffering, carbon storage, habitat for biological activity and water filter and storage. Therefore, one of the main challenges for sustainable agriculture is to produce high yields while maintaining all the other soil functions. Mechanistic simulation models are an essential tool to fully understand and predict the complex interactions between physical, biological and chemical processes of soils that generate those functions. We developed a soil model to simulate the impact of various agricultural management options and climate change on soil functions by integrating the relevant processes mechanistically and in a systemic way. As a special feature, we include the dynamics of soil structure induced by tillage and biological activity, which is especially relevant in arable soils. The model operates on a 1D soil profile consisting of a number of discrete layers with dynamic thickness. We demonstrate the model performance by simulating crop growth, root growth, nutrient and water uptake, nitrogen cycling, soil organic matter turnover, microbial activity, water distribution and soil structure dynamics in a long‐term field experiment including different crops and different types and levels of fertilization. The model is able to capture essential features that are measured regularly including crop yield, soil organic carbon, and soil nitrogen. In this way, the plausibility of the implemented processes and their interactions is confirmed. Furthermore, we present the results of explorative simulations comparing scenarios with and without tillage events to analyse the effect of soil structure on soil functions. Since the model is process‐based, we are confident that the model can also be used to predict quantities that have not been measured or to estimate the effect of management measures and climate states not yet been observed. The model thus has the potential to predict the site‐specific impact of management decisions on soil functions, which is of great importance for the development of a sustainable agriculture that is currently also on the agenda of the ‘Green Deal’ at the European level.〈/p〉
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: https://git.ufz.de/bodium/bodium_v1.0
    Keywords: ddc:631.4 ; agriculture ; computational model ; simulation ; soil microbiology ; soil structure ; sustainable soil
    Language: English
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  • 8
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    Toward an adequate level of detail in flood risk assessments (2023)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-01-24
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Flood risk assessments require different disciplines to understand and model the underlying components hazard, exposure, and vulnerability. Many methods and data sets have been refined considerably to cover more details of spatial, temporal, or process information. We compile case studies indicating that refined methods and data have a considerable effect on the overall assessment of flood risk. But are these improvements worth the effort? The adequate level of detail is typically unknown and prioritization of improvements in a specific component is hampered by the lack of an overarching view on flood risk. Consequently, creating the dilemma of potentially being too greedy or too wasteful with the resources available for a risk assessment. A “sweet spot” between those two would use methods and data sets that cover all relevant known processes without using resources inefficiently. We provide three key questions as a qualitative guidance toward this “sweet spot.” For quantitative decision support, more overarching case studies in various contexts are needed to reveal the sensitivity of the overall flood risk to individual components. This could also support the anticipation of unforeseen events like the flood event in Germany and Belgium in 2021 and increase the reliability of flood risk assessments.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: BMBF http://dx.doi.org/10.13039/501100002347
    Description: Federal Environment Agency http://dx.doi.org/10.13039/501100010809
    Description: http://howas21.gfz-potsdam.de/howas21/
    Description: https://www.umwelt.niedersachsen.de/startseite/themen/wasser/hochwasser_amp_kustenschutz/hochwasserrisikomanagement_richtlinie/hochwassergefahren_und_hochwasserrisikokarten/hochwasserkarten-121920.html
    Description: https://download.geofabrik.de/europe/germany.html
    Description: https://emergency.copernicus.eu/mapping/list-of-components/EMSN024
    Description: https://data.jrc.ec.europa.eu/collection/id-0054
    Description: https://oasishub.co/dataset/surface-water-flooding-footprinthurricane-harvey-august-2017-jba
    Description: https://www.wasser.sachsen.de/hochwassergefahrenkarte-11915.html
    Keywords: ddc:551.48 ; decision support ; extreme events ; integrated flood risk management ; risk assessment
    Language: English
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  • 9
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    Importance of catchment hydrological processes and calibration of hydrological‐hydrodynamic rainfall‐runoff models in small rural catchments (2023)
    Blackwell Publishing Ltd | Oxford, UK
    Details
    Publication Date: 2024-01-19
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉In recent years, many two‐dimensional (2D) hydrodynamic models have been extended to include the direct rainfall method (DRM). This allows their application as a hydrological‐hydrodynamic model for the determination of floodplains in one model system. In previous studies on DRM, the role of catchment hydrological processes (CaHyPro) and its interaction with the calibration process was not investigated in detail. In the present, case‐oriented study, the influence of the spatiotemporal distribution of the processes precipitation and runoff formation in combination with the 2D model HEC‐RAS is investigated. In a further step, a conceptual approach for event‐based interflow is integrated. The study is performed on the basis of a single storm event in a small rural catchment (low mountain range, 38 km〈sup〉2〈/sup〉) in Hesse (Germany). The model results are evaluated against six quality criteria and compared to a simplified baseline model. Finally, the calibrated improved model is contrasted with a calibrated baseline model. The results show the enhancement of the model results due to the integration of the CaHyPro and highlight its interplay with the calibrated model parameters.〈/p〉
    Keywords: ddc:551.48 ; 2D hydrodynamic modeling ; calibration ; direct rainfall modeling ; hydrological processes ; radar data ; runoff formation
    Language: English
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  • 10
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    Optimised use of data fusion and memory‐based learning with an Austrian soil library for predictions with infrared data (2023)
    Blackwell Publishing Ltd | Oxford, UK
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    Publication Date: 2023-12-12
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Infrared spectroscopy in the visible to near‐infrared (vis–NIR) and mid‐infrared (MIR) regions is a well‐established approach for the prediction of soil properties. Different data fusion and training approaches exist, and the optimal procedures are yet undefined and may depend on the heterogeneity present in the set and on the considered scale. The objectives were to test the usefulness of partial least squares regressions (PLSRs) for soil organic carbon (SOC), total carbon (C〈sub〉t〈/sub〉), total nitrogen (N〈sub〉t〈/sub〉) and pH using vis–NIR and MIR spectroscopy for an independent validation after standard calibration (use of a general PLSR model) or using memory‐based learning (MBL) with and without spiking for a national spectral database. Data fusion approaches were simple concatenation of spectra, outer product analysis (OPA) and model averaging. In total, 481 soils from an Austrian forest soil archive were measured in the vis–NIR and MIR regions, and regressions were calculated. Fivefold calibration‐validation approaches were carried out with a region‐related split of spectra to implement independent validations with n ranging from 47 to 99 soils in different folds. MIR predictions were generally superior over vis–NIR predictions. For all properties, optimal predictions were obtained with data fusion, with OPA and spectra concatenation outperforming model averaging. The greatest robustness of performance was found for OPA and MBL with spiking with 〈italic toggle="no"〉R〈/italic〉〈sup〉2〈/sup〉 ≥ 0.77 (N), 0.85 (SOC), 0.86 (pH) and 0.88 (C〈sub〉t〈/sub〉) in the validations of all folds. Overall, the results indicate that the combination of OPA for vis–NIR and MIR spectra with MBL and spiking has a high potential to accurately estimate properties when using large‐scale soil spectral libraries as reference data. However, the reduction of cost‐effectiveness using two spectrometers needs to be weighed against the potential increase in accuracy compared to a single MIR spectroscopy approach.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Keywords: ddc:631.4 ; data fusion ; independent validation ; infrared spectroscopy ; MBL ; nitrogen ; outer product analysis ; pH ; soil organic carbon ; spiking ; total carbon
    Language: English
    Type: doc-type:article
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